3. Fundamental Computational Fluid Dynamics and Heat Transfer Mechanisms
March 2020 - May 2022, Master's Thesis, Supervisor - Chinmayee Podder
Funding - National Science and Technology (NST) Fellowship
Description: There are no one or two goals, instead, a series of applicable goals are desired. On the way to the destination, several commercial CFD simulators will be studied:
- COMSOL (for initial learning).- ANSYS (for final simulation).
- CAD (geometry designing).
- MatLab (for programming approaches).
Fluid flow with energy, drag, and shifting will elaborately be studied with basics.
2. Analysis and Forecasting for COVID-19 Spreading in Bangladesh and India
April 2020 - February 2021, Self Funded
Description: Our research consists of a short literature review on COVID-19 & related works and analysis for two countries: India & Bangladesh. We compared our findings and represented them with many graphical visualizations and measured different values to understand the scenarios. We used machine learning techniques to conduct the research.
1. A Comparative Study on Stochastic Programming Problems: Modeling and Applications in Real Life
June 2019 - August 2019, Honours Project, Supervisor - Shek Ahmed
Description: The exception of considering uncertainty could be very detrimental to the outcomes of any systems or phenomena in the long run. The stochastic Process describes how uncertainty is considered in different sectors of our life. In this project, we presented a case study of a farmer’s problem in the Barishal region, Bangladesh based on two-stage stochastic programming with simple recourse. Consideration of stochasticity for a farmer to devote land to different crops for harvesting could be some insurance for the farmer with the best possible outcomes. Stochastic Programming studies these optimization techniques with risk consideration for better decisions at every step of our lives. Two-stage stochastic Programming is one of the most arising concerns in optimization techniques, where the decision has to anticipate using stochastic criteria and the second-stage decision has to be taken according to the anticipated decision result. The L-shaped algorithm uses constraint types for solving Two-Stage Fixed Recourse Problems. We also developed a Stochastic Programming Model for solving uncertainty issues in container allotment at two major seaports in Bangladesh. Finally, we discussed some observations on Arc Routing with uncertain parameters that help to choose the best lane.